Automatic Detection of Usability Smells in Web Applications
- Autores
- Grigera, Julián; Garrido, Alejandra; Rivero, José Matías; Rossi, Gustavo Héctor
- Año de publicación
- 2017
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Usability assessment of web applications continues to be an expensive and often neglected practice. While large companies are able to spare resources for studying and improving usability in their products, smaller businesses often divert theirs in other aspects. To help these cases, researches have devised automatic approaches for user interaction analysis, and there are commercial services that offer automated usability statistics at relatively low fees. However, most existing approaches still fall short in specifying the usability problems concretely enough to identify and suggest solutions. In this work we describe usability smells of user interaction, i.e., hints of usability problems on running web applications, and the process in which they can be iden tified by analyzing user interaction events. We also describe USF, the tool that implements the process in a fully automated way with minimum setup effort. USF analyses user interaction events on-the-fly, discovers usability smells and reports them together with a concrete solution in terms of a usability refactoring, providing usability advice for deployed web applications.
Laboratorio de Investigación y Formación en Informática Avanzada - Materia
-
Ciencias Informáticas
Usability testing
Web-based interaction
Refactoring
Log analysis - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-nd/4.0/
- Repositorio
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/119036
Ver los metadatos del registro completo
id |
SEDICI_e48f1402b97b5d98d406adcaae0ad32c |
---|---|
oai_identifier_str |
oai:sedici.unlp.edu.ar:10915/119036 |
network_acronym_str |
SEDICI |
repository_id_str |
1329 |
network_name_str |
SEDICI (UNLP) |
spelling |
Automatic Detection of Usability Smells in Web ApplicationsGrigera, JuliánGarrido, AlejandraRivero, José MatíasRossi, Gustavo HéctorCiencias InformáticasUsability testingWeb-based interactionRefactoringLog analysisUsability assessment of web applications continues to be an expensive and often neglected practice. While large companies are able to spare resources for studying and improving usability in their products, smaller businesses often divert theirs in other aspects. To help these cases, researches have devised automatic approaches for user interaction analysis, and there are commercial services that offer automated usability statistics at relatively low fees. However, most existing approaches still fall short in specifying the usability problems concretely enough to identify and suggest solutions. In this work we describe usability smells of user interaction, i.e., hints of usability problems on running web applications, and the process in which they can be iden tified by analyzing user interaction events. We also describe USF, the tool that implements the process in a fully automated way with minimum setup effort. USF analyses user interaction events on-the-fly, discovers usability smells and reports them together with a concrete solution in terms of a usability refactoring, providing usability advice for deployed web applications.Laboratorio de Investigación y Formación en Informática Avanzada2017info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdf129-148http://sedici.unlp.edu.ar/handle/10915/119036enginfo:eu-repo/semantics/altIdentifier/issn/1071-5819info:eu-repo/semantics/altIdentifier/doi/10.1016/j.ijhcs.2016.09.009info:eu-repo/semantics/altIdentifier/hdl/11746/10897info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-nd/4.0/Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-03T11:00:11Zoai:sedici.unlp.edu.ar:10915/119036Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-03 11:00:11.885SEDICI (UNLP) - Universidad Nacional de La Platafalse |
dc.title.none.fl_str_mv |
Automatic Detection of Usability Smells in Web Applications |
title |
Automatic Detection of Usability Smells in Web Applications |
spellingShingle |
Automatic Detection of Usability Smells in Web Applications Grigera, Julián Ciencias Informáticas Usability testing Web-based interaction Refactoring Log analysis |
title_short |
Automatic Detection of Usability Smells in Web Applications |
title_full |
Automatic Detection of Usability Smells in Web Applications |
title_fullStr |
Automatic Detection of Usability Smells in Web Applications |
title_full_unstemmed |
Automatic Detection of Usability Smells in Web Applications |
title_sort |
Automatic Detection of Usability Smells in Web Applications |
dc.creator.none.fl_str_mv |
Grigera, Julián Garrido, Alejandra Rivero, José Matías Rossi, Gustavo Héctor |
author |
Grigera, Julián |
author_facet |
Grigera, Julián Garrido, Alejandra Rivero, José Matías Rossi, Gustavo Héctor |
author_role |
author |
author2 |
Garrido, Alejandra Rivero, José Matías Rossi, Gustavo Héctor |
author2_role |
author author author |
dc.subject.none.fl_str_mv |
Ciencias Informáticas Usability testing Web-based interaction Refactoring Log analysis |
topic |
Ciencias Informáticas Usability testing Web-based interaction Refactoring Log analysis |
dc.description.none.fl_txt_mv |
Usability assessment of web applications continues to be an expensive and often neglected practice. While large companies are able to spare resources for studying and improving usability in their products, smaller businesses often divert theirs in other aspects. To help these cases, researches have devised automatic approaches for user interaction analysis, and there are commercial services that offer automated usability statistics at relatively low fees. However, most existing approaches still fall short in specifying the usability problems concretely enough to identify and suggest solutions. In this work we describe usability smells of user interaction, i.e., hints of usability problems on running web applications, and the process in which they can be iden tified by analyzing user interaction events. We also describe USF, the tool that implements the process in a fully automated way with minimum setup effort. USF analyses user interaction events on-the-fly, discovers usability smells and reports them together with a concrete solution in terms of a usability refactoring, providing usability advice for deployed web applications. Laboratorio de Investigación y Formación en Informática Avanzada |
description |
Usability assessment of web applications continues to be an expensive and often neglected practice. While large companies are able to spare resources for studying and improving usability in their products, smaller businesses often divert theirs in other aspects. To help these cases, researches have devised automatic approaches for user interaction analysis, and there are commercial services that offer automated usability statistics at relatively low fees. However, most existing approaches still fall short in specifying the usability problems concretely enough to identify and suggest solutions. In this work we describe usability smells of user interaction, i.e., hints of usability problems on running web applications, and the process in which they can be iden tified by analyzing user interaction events. We also describe USF, the tool that implements the process in a fully automated way with minimum setup effort. USF analyses user interaction events on-the-fly, discovers usability smells and reports them together with a concrete solution in terms of a usability refactoring, providing usability advice for deployed web applications. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Articulo http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://sedici.unlp.edu.ar/handle/10915/119036 |
url |
http://sedici.unlp.edu.ar/handle/10915/119036 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/issn/1071-5819 info:eu-repo/semantics/altIdentifier/doi/10.1016/j.ijhcs.2016.09.009 info:eu-repo/semantics/altIdentifier/hdl/11746/10897 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-nd/4.0/ Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by-nc-nd/4.0/ Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) |
dc.format.none.fl_str_mv |
application/pdf 129-148 |
dc.source.none.fl_str_mv |
reponame:SEDICI (UNLP) instname:Universidad Nacional de La Plata instacron:UNLP |
reponame_str |
SEDICI (UNLP) |
collection |
SEDICI (UNLP) |
instname_str |
Universidad Nacional de La Plata |
instacron_str |
UNLP |
institution |
UNLP |
repository.name.fl_str_mv |
SEDICI (UNLP) - Universidad Nacional de La Plata |
repository.mail.fl_str_mv |
alira@sedici.unlp.edu.ar |
_version_ |
1842260496359620608 |
score |
13.13397 |